V* V361 Vir , the SIMBAD biblio

V* V361 Vir , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST19:43:57

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
2004AJ....127.1158V viz 503 106 The QUEST RR Lyrae survey. I. The first catalog. VIVAS A.K., ZINN R., ABAD C., et al.
2006AJ....132..714V viz 15       D               493 135 The QUEST RR Lyrae survey. II. The halo overdensities in the first catalog. VIVAS A.K. and ZINN R.
2014ApJ...781...22Z viz 15       D               1 1393 41 La Silla QUEST RR Lyrae star survey: region I. ZINN R., HOROWITZ B., VIVAS A.K., et al.
2015A&A...579A..19A viz 16       D               1 8375 75 K2 Variable Catalogue: Variable stars and eclipsing binaries in K2 campaigns 1 and 0. ARMSTRONG D.J., KIRK J., LAM K.W.F., et al.
2016ApJ...831..165V viz 16       D               1 469 11 Disentangling the Virgo overdensity with RR Lyrae stars. VIVAS A.K., ZINN R., FARMER J., et al.
2017AJ....153..204S viz 16       D               1 46977 123 Machine-learned identification of RR Lyrae stars from sparse, multi-band data: the PS1 sample. SESAR B., HERNITSCHEK N., MITROVIC S., et al.
2019A&A...622A..60C viz 16       D               1 150347 194 Gaia Data Release 2. Specific characterisation and validation of all-sky Cepheids and RR Lyrae stars. CLEMENTINI G., RIPEPI V., MOLINARO R., et al.
2020MNRAS.491.2280S viz 16       D               1 48782 ~ Application of convolutional neural networks for stellar spectral classification. SHARMA K., KEMBHAVI A., KEMBHAVI A., et al.
2020ApJS..247...68L viz 16       D               1 6244 20 Probing the Galactic halo with RR Lyrae stars. I. The catalog. LIU G.-C., HUANG Y., ZHANG H.-W., et al.
2020A&A...638A.104R viz 16       D               1 9495 37 Full 5D characterisation of the Sagittarius stream with Gaia DR2 RR Lyrae. RAMOS P., MATEU C., ANTOJA T., et al.
2022ApJS..261...33D viz 17       D               1 104673 3 Photometric Metallicity Prediction of Fundamental-mode RR Lyrae Stars in the Gaia Optical and Ks Infrared Wave Bands by Deep Learning. DEKANY I. and GREBEL E.K.
2023A&A...674A..18C viz 17       D               1 271810 30 Gaia Data Release 3 Specific processing and validation of all-sky RR Lyrae and Cepheid stars: The RR Lyrae sample. CLEMENTINI G., RIPEPI V., GAROFALO A., et al.
2024A&A...689A.189F viz 18       D               1 1324 ~ Validation of the RR Lyrae period determination in the Pan-STARRS PS1 3π survey with K2. FORRO A., MOLNAR L., PLACHY E., et al.

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